Review: Brain-inspired intelligent navigation modeling technology and its application

被引：0

作者：

Li, Weibin ^{[1
]}

Qin, Chenhao ^{[1
]}

Zhang, Tianyi ^{[1
]}

Mao, Xin ^{[1
]}

Yang, Donghao ^{[1
]}

Ji, Wenbo ^{[1
]}

Hou, Biao ^{[1
]}

Jiao, Licheng ^{[1
]}

机构：

[1] School of Artificial Intelligence, Xidian University, Xi'an,710071, China

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 11期

关键词：

Brain mapping;

D O I：

10.12305/j.issn.1001-506X.2024.11.27

中图分类号：

学科分类号：

摘要：

Autonomous navigation capability is a core capability for unmanned systems. In recent years, the environment in which unmanned systems operate has become increasingly complex and the tasks they face have become more and more challenging, which puts forward higher requirements for their autonomous navigation capability. With the continuous development of neuroscience and artificial intelligence, the brain-inspired navigation technology based on the spatial navigation mechanism of animal brain has become a solution to the problem of intelligent navigation in complex environments. In this paper, the development history of the brain-inspired intelligent navigation technology is sorted out and summarized, focusing on the spatial cognitive model modeling technology of the brain-inspired navigation and its application technology-the brain-inspired simultaneous localization and mapping (SLAM) technology and the brain-inspired cluster navigation technology. Finally, the challenges and shortcomings of the current brain-inspired navigation technology are summarized, and the important future develop ment directions are discussed. © 2024 Chinese Institute of Electronics. All rights reserved.

引用

页码：3844 / 3861

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